Linear versus nonlinear model-based restoration of medical images corrupted with signal-dependent noise

Sunanda Mitra; Chintanie Wettasinghe; A. Kher; Suryalakshmi Pemmaraju; Yao-Yang Shieh; Glenn H. Roberson

doi:10.1117/12.237951

16 April 1996 Linear versus nonlinear model-based restoration of medical images corrupted with signal-dependent noise

Sunanda Mitra, Chintanie Wettasinghe, A. Kher, Suryalakshmi Pemmaraju, Yao-Yang Shieh, Glenn H. Roberson

Proceedings Volume 2710, Medical Imaging 1996: Image Processing; (1996) https://doi.org/10.1117/12.237951
Event: Medical Imaging 1996, 1996, Newport Beach, CA, United States

Abstract

Due to coherent imaging techniques employed in medical imaging such as ultrasound imaging, signal dependent speckle noise appears as granular noise that is difficult to remove without blurring the image details. Considerable efforts have been spent to design systems with improved resolution and reduced speckle noise. This study investigates the effect of recently developed nonlinear and linear filtering techniques in restoring medical images corrupted with speckle noise. Preliminary results demonstrate that a class of nonlinear filters based on mathematical morphology outperforms linear wavelet filters and a simple nonlinear median filter in removing speckle noise.

Citation Download Citation

Sunanda Mitra, Chintanie Wettasinghe, A. Kher, Suryalakshmi Pemmaraju, Yao-Yang Shieh, and Glenn H. Roberson "Linear versus nonlinear model-based restoration of medical images corrupted with signal-dependent noise", Proc. SPIE 2710, Medical Imaging 1996: Image Processing, (16 April 1996); https://doi.org/10.1117/12.237951

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